Mac15,12
Geekbench AI Score
2509
Single Precision Score
13920
Half Precision Score
14819
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 21 2024 09:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
7660
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
8489
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
852
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6635
107.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6656
107.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8386
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
103476
120.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
104188
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.6 IPS |
|
|
Object Detection (HP)
|
100% |
10032
795.8 IPS |
|
|
Object Detection (Q)
|
93% |
10736
856.6 IPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
13873
164.8 IPS |
|
|
Face Detection (Q)
|
100% |
16545
196.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4493
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
59504
458.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
63446
490.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12745
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
155577
200.0 IPS |
|
|
Style Transfer (Q)
|
100% |
154178
198.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3839
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21391
789.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26542
983.4 IPS |
|
|
Text Classification (SP)
|
100% |
590
787.7 IPS |
|
|
Text Classification (HP)
|
100% |
686
916.1 IPS |
|
|
Text Classification (Q)
|
93% |
687
921.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2125
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2749
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2739
47.3 IPS |
